Data Quality Blog

http://blog.naveego.com

Derek Smith

Derek Smith

Derek is Co-founder and CEO of Naveego, Inc. His belief that leading-edge analytics should be in reach for everyone led to the development of the Naveego business intelligence platform. Naveego brings all of a business’ data together, visually and in real time, with an end-to-end solution that includes a built-in data warehouse, dashboards, analytics and reports.


Naveego Secures Financing Round to Expand Global Reach and Capitalize on the Multi-Billion Dollar Data Quality Market

by on in News , Data Quality

Disruptive Data Quality Provider Delivers Information Assurance as 84 Percent of CEOs Are Concerned about the Quality of Data to Make Strategic Business Decisions Traverse City, MI – July 25, 2017 – Naveego, an emerging leader of cloud-based Data Quality and Master Data Management (MDM) solutions, announced today it has secured half a million dollars in a financing round from Boomerang-Catapult and strategic investor Casey Cowell, co-founder of U.S. Robotics. The company will make use of the funding to drive continued product innovation and global expansion as it capitalizes on the rapidly growing multi-billion dollar Data Quality Tools market.

Read More

What Does a Good Data Quality Solution Do?

by on in

by on in Data Quality

What to Look for in a Data Quality Solution You can find a myriad of articles and studies that speak of the benefits of using clean data to run an organization. It’s very easy to make the connection between cleaner data and more informed business decisions. But rarely do these study ever really bring to light just how a data quality solution impacts a business beyond cleaner data. So, what does a reputable data quality solution do for a business and its data? Let’s find out.

Read More

Start Thinking of Your Business as a Data Company

by on in

by on in Data Quality

Data: The Uncommon Commodity Data is an extremely prevalent commodity, being produced by every person on the planet, as well as machines and devices. But as the scale of data increases, it’s value only increases - a an extremely rare occurrence that defies the preconceived notions of a supply and demand system of commodities. In fact, the IDC says that we’ll create and copy 180 zettabytes of data by the year 2020.

Read More

Data Quality is Key to a Data Driven Company

by on in

by on in Data Quality

Benefits of Adopting a Data Quality Process When we discuss data quality, we often neglect to note that data quality is a means to an end, rather than an end unto itself. That aforementioned end is enabling an organization to make decisions based on and supported by clean, accurate, and insightful information. Simply having clean data isn’t valuable if the organization isn’t prepared to use the data to make decisions. To us, making those informed decisions is where the true value of having a data quality process and tool in place really starts to shine.

Read More

Data Quality and Consumer Trust

by on in

by on in Data Quality

Data Quality and Customer Perception We usually talk about data quality issues like they’re only relevant to businesses. When we talk about data quality issues, we mostly discuss costs and repercussions that affect the business - time lost, costs incurred, and internal errors that wreak havoc on business processes and decision making. However, we need to realize that data quality issues are very much a two-way street. Consumers are also becoming aware and affected by data quality issues - and businesses are starting to take note.

Read More

When It Comes to Data Quality, Organization is Key

by on in

by on in Data Quality

Data Quality and Organization When it comes to data quality, it’s crucial to have a process that is well organized. In our years of experience in the data quality realm, we’ve worked with our clients to determine the most crucial factors of data quality organization. So, what did we find out?

Read More

Naveego Welcomes New Business Development Associate

by on in

by on in News

Read More

What is Bad Data and How Do We Deal With It?

by on in

by on in Data Quality

When we talk about bad data, it’s easy to get into the weeds of the topic and forget the main issues at hand; defining which types of data is bad and how to keep that data from negatively affecting your business metrics. Sure, this definition may seem simplistic. But when it comes to data quality, we strive for simplicity to make implementing your data quality process as intuitive and automated as possible.

Read More

Why Data Quality Needs to be More Agile

by on in

by on in Data Quality

If you have participated in any type of business project over the past 10 years, you have likely been introduced to or are leveraging the Agile process.   Agile began its life in the software development world during the late 1980s and early 1990s. At the time,  software development projects were seeing a tremendously high failure rate. Many attributed those failures to inefficiencies with the traditional “waterfall” method, which consisted of gathering all the requirements up front, disappearing for six months to develop the solution, then reappearing with working software.   In the vast majority of cases, after months of research, deliberation, and development time, the final product did not fulfill customer requests, nor did it provide the outcome they needed. In essence, companies were investing large amounts of time and money up-front, only to be disappointed with the end result.

Read More